1 citations · 1 across the 4 of their papers we have counts for
5 papers
Aerial-ground LiDAR place recognition with patch-level self-supervised learning and expanded reciprocal re-ranking
Yandi Yang, Xianghong Zou, Jianping Li +4
LiDAR place recognition determines one's position on a prior point cloud map. The most studied ground-level LiDAR place recognition suffers from pre-visit requirements, incomplete…
WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes
Xianghong Zou, Jianping Li, Yandi Yang +4
Point Cloud-based Place Recognition (PCPR) demonstrates considerable potential in applications such as autonomous driving, robot localization and navigation, and map update. In pra…
LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning
Xianghong Zou, Jianping Li, Zhe Chen +4
Point cloud place recognition (PCPR) determines the geo-location within a prebuilt map and plays a crucial role in geoscience and robotics applications such as autonomous driving,…
Reliable-loc: Robust sequential LiDAR global localization in large-scale street scenes based on verifiable cues
Xianghong Zou, Jianping Li, Weitong Wu +3
Wearable laser scanning (WLS) system has the advantages of flexibility and portability. It can be used for determining the user's path within a prior map, which is a huge demand fo…
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration
Shuhao Kang, Youqi Liao, Jianping Li +7
Image-to-point cloud (I2P) registration is a fundamental task for robots and autonomous vehicles to achieve cross-modality data fusion and localization. Current I2P registration me…